Using social data to assist editors in addressing reviewer feedback in a document review workflow

Abstract

Presenting a reviewer feedback of a document, one aspect, may comprise retrieving a plurality of feedback on a document, each feedback having an associated reviewer who provided the feedback. Social data associated with the reviewer of the feedback may be obtained. A plurality of characteristics associated with the feedback may be identified, at least some of the characteristics identified based on the social data. The characteristics may include at least the associated reviewer's position in an organization hierarchy, the reviewer's expertise, frequency of the feedback, impact of the feedback, and usefulness of the feedback. The plurality of feedback may be prioritized based on the plurality of characteristics, and a list of prioritized feedback may be presented via a user interface.

Description

FIELD[0001]The present application relates generally to computers, and computer applications, and more particularly to online document processing and online document editing.BACKGROUND[0002]Users may share work in the form of a “document”, a self-contained file for the work. Reviewing a document is often time consuming. Feedback may be received from multiple people and as a result may overlap or become redundant. Further, feedback may be considered more important depending on who provided it and their experience with the subject matter. Time is often limited and assessing the order in which to review the feedback (e.g., from most important to less important) becomes a task in itself. Because time and resources are limited, one may prioritize feedback based on various factors to help create a clearer path to update the document.BRIEF SUMMARY[0003]A method of presenting a reviewer feedback of a document, in one aspect, may comprise retrieving a plurality of feedback on a document. Eac...

AI Technical Summary

Benefits of technology

This patent describes a method and system for displaying feedback from multiple reviewers on a document. The feedback is ranked based on factors like the reviewer's position in the organization, expertise, feedback frequency, impact, and usefulness. This helps to prioritize and make more important the feedback that needs to be addressed by the document's author. The system can also allow users to easily see what feedback they should address first, making the reviewing process more efficient.

Problems solved by technology

Reviewing a document is often time consuming.

Feedback may be received from multiple people and as a result may overlap or become redundant.

Time is often limited and assessing the order in which to review the feedback (e.g., from most important to less important) becomes a task in itself.

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